Data analysis was performed using the Statistical Package of Social Sciences (SPSS) version 24 (IBM, USA). Continuous variables were presented as mean ± standard deviation (SD) or median (Interquartile range), as appropriate, while categorical variables were described as frequency (percentages). The Spearman correlation coefficient was used to measure associations between TRPs and other variables. Then, those variables that were found significant as single predictors were included in multiple linear regression. Variables were checked for their independence, where tolerance values > 0.1 and Variance Inflation Factor (VIF) values were < 10 to indicate the absence of multicollinearity between the independent variables in regression analysis. None of the included variables showed multicollinearity, thus, none was eliminated. A p-value of < 0.05 was considered statistically significant.
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